WENG Chang-ya, SONG Xue, ZHANG Hui, DUAN Ya-li, GUO Yu, LU Chen. Association of ELMO1 polymorphism with risk of Xinjiang Uygur diabetic kidney diseases[J]. Journal of Clinical Nephrology, 2017, 17(9): 521-525. DOI: 10.3969/j.issn.1671-2390.2017.09.002
    Citation: WENG Chang-ya, SONG Xue, ZHANG Hui, DUAN Ya-li, GUO Yu, LU Chen. Association of ELMO1 polymorphism with risk of Xinjiang Uygur diabetic kidney diseases[J]. Journal of Clinical Nephrology, 2017, 17(9): 521-525. DOI: 10.3969/j.issn.1671-2390.2017.09.002

    Association of ELMO1 polymorphism with risk of Xinjiang Uygur diabetic kidney diseases

    • Objective To study whether the engulfment and cell motility 1 gene (ELMO1) polymorphism is associated with a high risk of Xinjiang Uygurdiabetic kidney diseases, analyze the clinical index and biochemical index among the normal controls, simple diabetes and diabetic kidney diseases, and discuss whether the ELMO1 was independent risk factor for diabetic kidney diseases.Methods The allele frequency and the genotype distribution of the ELMO1 rs10951509 (A/G), and rs2717972(A/G) polymorphism were studied in normal controls (80 cases), simple diabetes (84 cases), and diabetic kidney diseases (97 cases) by means of PCR sequencing technology. The Logistic regression analysis was done to detect whether the ELMO1 was an independent risk factor for diabetes kidney disease.Results Patients with diabetic kidney disease had a higher frequency of G allele of the ELMO1 rs1095150 polymorphism than that of normal controls (χ2=11.073, P<0.05) and simple diabetes (χ2=4.078, P<0.05), but there was no significant difference in frequency of G allele between the normal controls and patients with simple diabetes (χ2=1.758, P>0.05). Patients with diabetic kidney disease (χ2=11.073, P<0.05) and simple diabetes (χ2=4.078, P<0.05) had a higher frequency of G allele of the ELMO1 rs2717972 polymorphism than that of normal controls (P<0.05), but there was no significant difference in frequency of G allele between the patients with diabetic kidney disease and those with simple diabetes (χ2=1.758, P>0.05). Logistic regression analysis indicated that higher BMI, DBP, TG, and the ELMO1 rs10951509G allele were the independent predictors for diabetic kidney disease.Conclusions The patients with ELM01 rs10951509 may be more susceptible to diabetic kidney disease than diabetic patients with G allele. And the rs2717972 G allele may be common susceptible gene to diabetic kidney disease and diabetic patients. The patients with type 2 diabetes mellitus with high BMI, DBP, TG, and EMLO1 rs10951509 G allele may increase the risk of diabetic kidney disease.
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